<i>Luticola edaphica</i> sp. nov. (Diadesmidaceae, Naviculales) from the Soil of the Russian Far East (Primorsky Territory, Russia). [PDF]
Bagmet VB +3 more
europepmc +1 more source
Translation Of Conversation Between Me And The Women By A. P. Bunina [PDF]
Bunina, A. P. +1 more
core +1 more source
Dynamic Spillovers Between FinTech, Blockchain, and Green Finance: A Quantile Connectedness Approach
ABSTRACT This paper explores how financial innovation and environmental sustainability intersect by analyzing spillovers between FinTech, blockchain energy use, and green finance. Using a Quantile Vector Autoregression (QVAR) framework, we examine weekly data from 2018 to 2024 across 11 digital, environmental, and macro‐financial indices.
Mehmet Sahiner, Sisi Sung, James Devlin
wiley +1 more source
Populational analysis of the mortality-to-incidence ratio across 20 cancer groupings in the Russian Federation. [PDF]
Muntyanu A +7 more
europepmc +1 more source
Review Of A Russian Psyche: The Poetic Mind Of Marina Tsvetaeva By A.W. Dinega [PDF]
Forrester, Sibelan E.S.
core +1 more source
ABSTRACT Despite the critical role that state‐owned enterprises (SOEs) can play in the green transition, relatively little is known about governments' environmental behavior as foreign shareholders. This study examines the effect of state ownership on domestic and foreign environmental performance.
Pablo Torres, Germà Bel, Marc Esteve
wiley +1 more source
TAV-in-TAV-in-TAV after treated endocarditis: procedural strategy, imaging planning and 1-year outcome. [PDF]
Merkulov EV +7 more
europepmc +1 more source
Review Of Mandel\u27shtam: Problema Chteniia I Ponimaniia By I. Gurvich [PDF]
Forrester, Sibelan E.S.
core +1 more source
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
Hint recognition in Chinese and Russian diplomatic discourse using large language models. [PDF]
Guo Y, Wang X.
europepmc +1 more source

